basics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We hope you have strong basics and in this week, we are going to do more challenging tasks."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### This program is to create lists "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Don't worry about this program, we will discuss about it this week"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Press clt+enter to run this cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Make sure you are giving correct path to file 'Students_Performance.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(\"C:\\\\Users\\\\sahib pratap\\\\Downloads\\\\quarantine time\\\\Students_Performance.csv\")   #Path should be correct or you will get an error."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating list marks:\n",
    "marks=[]\n",
    "marks=df['reading score']\n",
    "marks=list(marks)\n",
    "# Creating list list_marks: \n",
    "#https://youtu.be/DNgkTDAQBFs?t=27"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Hope you do run all the above cells and now you have two list 'marks' and 'list_marks'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
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       " 48,\n",
       " 84,\n",
       " 75,\n",
       " 64,\n",
       " 42,\n",
       " 84,\n",
       " 61,\n",
       " 62,\n",
       " 61,\n",
       " 70,\n",
       " 100,\n",
       " 61,\n",
       " 77,\n",
       " 96,\n",
       " 70,\n",
       " 53,\n",
       " 66,\n",
       " 65,\n",
       " 70,\n",
       " 64,\n",
       " 56,\n",
       " 61,\n",
       " 43,\n",
       " 56,\n",
       " 74,\n",
       " 57,\n",
       " 71,\n",
       " 75,\n",
       " 87,\n",
       " 63,\n",
       " 57,\n",
       " 58,\n",
       " 81,\n",
       " 68,\n",
       " 66,\n",
       " 91,\n",
       " 66,\n",
       " 62,\n",
       " 68,\n",
       " 61,\n",
       " 82,\n",
       " 58,\n",
       " 50,\n",
       " 75,\n",
       " 73,\n",
       " 77,\n",
       " 74,\n",
       " 52,\n",
       " 69,\n",
       " 57,\n",
       " 87,\n",
       " 100,\n",
       " 63,\n",
       " 81,\n",
       " 58,\n",
       " 54,\n",
       " 100,\n",
       " 76,\n",
       " 57,\n",
       " 70,\n",
       " 68,\n",
       " 63,\n",
       " 76,\n",
       " 84,\n",
       " 100,\n",
       " 72,\n",
       " 50,\n",
       " 65,\n",
       " 63,\n",
       " 82,\n",
       " 62,\n",
       " 65,\n",
       " 41,\n",
       " 95,\n",
       " 24,\n",
       " 78,\n",
       " 85,\n",
       " 87,\n",
       " 75,\n",
       " 51,\n",
       " 59,\n",
       " 75,\n",
       " 45,\n",
       " 86,\n",
       " 81,\n",
       " 82,\n",
       " 76,\n",
       " 72,\n",
       " 63,\n",
       " 99,\n",
       " 55,\n",
       " 71,\n",
       " 78,\n",
       " 86]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To see what marks list is:\n",
    "marks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
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       " [70, 84, 81],\n",
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       " [52, 55, 57],\n",
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       " [76, 80, 73],\n",
       " [87, 94, 95],\n",
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       " [73, 76, 78],\n",
       " [75, 81, 74],\n",
       " [64, 74, 75],\n",
       " [41, 45, 40],\n",
       " [90, 75, 69],\n",
       " [59, 54, 51],\n",
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       " [54, 64, 67],\n",
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       " [72, 80, 83],\n",
       " [94, 86, 87],\n",
       " [45, 59, 64],\n",
       " [61, 70, 76],\n",
       " [60, 72, 68],\n",
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       " [56, 68, 70],\n",
       " [65, 69, 76],\n",
       " [69, 86, 81],\n",
       " [68, 54, 53],\n",
       " [61, 60, 57],\n",
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       " [77, 82, 89],\n",
       " [58, 50, 45],\n",
       " [60, 64, 74],\n",
       " [73, 64, 57],\n",
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       " [90, 85, 84],\n",
       " [91, 85, 85],\n",
       " [64, 54, 50],\n",
       " [59, 72, 68],\n",
       " [80, 75, 69],\n",
       " [71, 67, 67],\n",
       " [61, 68, 63],\n",
       " [87, 85, 93],\n",
       " [82, 67, 61],\n",
       " [62, 64, 55],\n",
       " [97, 97, 96],\n",
       " [75, 68, 65],\n",
       " [65, 79, 81],\n",
       " [52, 49, 46],\n",
       " [87, 73, 72],\n",
       " [53, 62, 53],\n",
       " [81, 86, 87],\n",
       " [39, 42, 38],\n",
       " [71, 71, 80],\n",
       " [97, 93, 91],\n",
       " [82, 82, 88],\n",
       " [59, 53, 52],\n",
       " [61, 42, 41],\n",
       " [78, 74, 72],\n",
       " [49, 51, 51],\n",
       " [59, 58, 47],\n",
       " [70, 72, 76],\n",
       " [82, 84, 78],\n",
       " [90, 90, 82],\n",
       " [43, 62, 61],\n",
       " [80, 64, 66],\n",
       " [81, 82, 84],\n",
       " [57, 61, 54],\n",
       " [59, 72, 80],\n",
       " [64, 76, 74],\n",
       " [63, 64, 66],\n",
       " [71, 70, 70],\n",
       " [64, 73, 71],\n",
       " [55, 46, 44],\n",
       " [51, 51, 54],\n",
       " [62, 76, 80],\n",
       " [93, 100, 95],\n",
       " [54, 72, 59],\n",
       " [69, 65, 74],\n",
       " [44, 51, 48],\n",
       " [86, 85, 91],\n",
       " [85, 92, 85],\n",
       " [50, 67, 73],\n",
       " [88, 74, 75],\n",
       " [59, 62, 69],\n",
       " [32, 34, 38],\n",
       " [36, 29, 27],\n",
       " [63, 78, 79],\n",
       " [67, 54, 63],\n",
       " [65, 78, 82],\n",
       " [85, 84, 89],\n",
       " [73, 78, 74],\n",
       " [34, 48, 41],\n",
       " [93, 100, 100],\n",
       " [67, 84, 84],\n",
       " [88, 77, 77],\n",
       " [57, 48, 51],\n",
       " [79, 84, 91],\n",
       " [67, 75, 72],\n",
       " [70, 64, 70],\n",
       " [50, 42, 48],\n",
       " [69, 84, 82],\n",
       " [52, 61, 66],\n",
       " [47, 62, 66],\n",
       " [46, 61, 55],\n",
       " [68, 70, 66],\n",
       " [100, 100, 100],\n",
       " [44, 61, 52],\n",
       " [57, 77, 80],\n",
       " [91, 96, 91],\n",
       " [69, 70, 67],\n",
       " [35, 53, 46],\n",
       " [72, 66, 66],\n",
       " [54, 65, 65],\n",
       " [74, 70, 69],\n",
       " [74, 64, 60],\n",
       " [64, 56, 52],\n",
       " [65, 61, 71],\n",
       " [46, 43, 44],\n",
       " [48, 56, 51],\n",
       " [67, 74, 70],\n",
       " [62, 57, 62],\n",
       " [61, 71, 73],\n",
       " [70, 75, 74],\n",
       " [98, 87, 90],\n",
       " [70, 63, 58],\n",
       " [67, 57, 53],\n",
       " [57, 58, 57],\n",
       " [85, 81, 85],\n",
       " [77, 68, 69],\n",
       " [72, 66, 72],\n",
       " [78, 91, 96],\n",
       " [81, 66, 64],\n",
       " [61, 62, 61],\n",
       " [58, 68, 61],\n",
       " [54, 61, 58],\n",
       " [82, 82, 80],\n",
       " [49, 58, 60],\n",
       " [49, 50, 52],\n",
       " [57, 75, 73],\n",
       " [94, 73, 71],\n",
       " [75, 77, 83],\n",
       " [74, 74, 72],\n",
       " [58, 52, 54],\n",
       " [62, 69, 69],\n",
       " [72, 57, 62],\n",
       " [84, 87, 81],\n",
       " [92, 100, 100],\n",
       " [45, 63, 59],\n",
       " [75, 81, 71],\n",
       " [56, 58, 64],\n",
       " [48, 54, 53],\n",
       " [100, 100, 100],\n",
       " [65, 76, 75],\n",
       " [72, 57, 58],\n",
       " [62, 70, 72],\n",
       " [66, 68, 64],\n",
       " [63, 63, 60],\n",
       " [68, 76, 67],\n",
       " [75, 84, 80],\n",
       " [89, 100, 100],\n",
       " [78, 72, 69],\n",
       " [53, 50, 60],\n",
       " [49, 65, 61],\n",
       " [54, 63, 67],\n",
       " [64, 82, 77],\n",
       " [60, 62, 60],\n",
       " [62, 65, 58],\n",
       " [55, 41, 48],\n",
       " [91, 95, 94],\n",
       " [8, 24, 23],\n",
       " [81, 78, 78],\n",
       " [79, 85, 86],\n",
       " [78, 87, 91],\n",
       " [74, 75, 82],\n",
       " [57, 51, 54],\n",
       " [40, 59, 51],\n",
       " [81, 75, 76],\n",
       " [44, 45, 45],\n",
       " [67, 86, 83],\n",
       " [86, 81, 75],\n",
       " [65, 82, 78],\n",
       " [55, 76, 76],\n",
       " [62, 72, 74],\n",
       " [63, 63, 62],\n",
       " [88, 99, 95],\n",
       " [62, 55, 55],\n",
       " [59, 71, 65],\n",
       " [68, 78, 77],\n",
       " [77, 86, 86]]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To see what list_marks list is:\n",
    "list_marks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
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       " 'S_999': [77, 86, 86]}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Working on Lists "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Things already covered in Lists:\n",
    "        - Access any item from a list\n",
    "        - Change an item in a list\n",
    "        - Looping through a list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1. How to find length of a List."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1000"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(marks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Same method what we used before in strings."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. How to create copy of a list."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We want to create a cope of a list to work on that and keep the original safe."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Can we use list1 = list2 ???\n",
    "##### Let's try"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "list1=[1,2,3]\n",
    "list2=list1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Making changes in list2:\n",
    "list2.append(5)\n",
    "             \n",
    "# We are adding or appending an element 5 in our list 2.\n",
    "\n",
    "# We can also append a list like list2.append(list3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 5]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# See if list1 has changed?\n",
    "list1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Making changes in list1:\n",
    "list3=[10,11]\n",
    "list1.append(list3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 5, [10, 11]]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# See if our list2 is safe or not:\n",
    "list2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We can see our whole purpose of working on a file and making changes in the copy of it has been defeated."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Using Copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Making copy:\n",
    "list2=list1.copy()\n",
    "\n",
    "# Appending list3 in list2:\n",
    "list2.append(list3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 5, [10, 11]]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check if list1 is unchanged or not:\n",
    "list1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 5, [10, 11], 10, 11]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check if list1 has changed or not:\n",
    "list2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Similarly,\n",
    "- We can join or append two lists-----using +, append() and extend()\n",
    "- We can delete items-----------------using pop(), remove() and del"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. Joining lists"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Of course all three: +, append() and extend() won't be doing exact same thing.\n",
    "It is quite clear by their name itself but let's try to find out:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "list4 = ['one','two','three']\n",
    "list5=['hello','world']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['one', 'two', 'three', 'hello', 'world']"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list4 + list5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['one', 'two', 'three']"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Hence using + won't change the actual list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Unless,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "list4 = list4 + list5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['one', 'two', 'three', 'hello', 'world']"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['one', 'two', 'three', 'hello', 'world', ['hello', 'world']]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list4.append(list5)\n",
    "list4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['one', 'two', 'three', 'hello', 'world', ['hello', 'world'], 'hello', 'world']"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list4.extend(list5)\n",
    "list4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Append adds complete list while extend adds element-wise"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4.Type Casting "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Quite important for future."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Type casting on a string:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "a='hello from DIWO'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['h', 'e', 'l', 'l', 'o', ' ', 'f', 'r', 'o', 'm', ' ', 'D', 'I', 'W', 'O']"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(a)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Type casting on int:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "b=8700529995"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'int' object is not iterable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-65-c82df9c6e038>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: 'int' object is not iterable"
     ]
    }
   ],
   "source": [
    "list(b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Therefore, we cannot convert into into a list, how we did with a string."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### But still we want to convert b into a list with all numbers."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Task 1: Extract each digit from int b and save it in a list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['8', '7', '0', '0', '5', '2', '9', '9', '9', '5']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b=8700529995\n",
    "b=str(b)\n",
    "list(b)\n",
    "\n",
    "\n",
    "# Answer is given at the end of this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4. Mathematics on lists"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We don't have much in-built mathematical functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That is why we would need another libraries such as pandas and numpy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we won't jump to pandas and numpy."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " 78,\n",
       " 86]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remember our list 'marks' which as marks of 1000 students.\n",
    "marks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We want sum of all the marks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "69169"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Method 1:\n",
    "a=0\n",
    "for i in marks:\n",
    "   a=a+i \n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "69169"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We have a built-in function called sum:\n",
    "sum(marks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We want mean of all the marks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "69.169"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# According to definition of mean:\n",
    "\n",
    "mean_marks = sum(marks)/len(marks)     # len(marks) gets the total number of students\n",
    "mean_marks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Similarly, we can do multiple mathematical operations. Basically by extracting each element if we don't have in-built function and if we are not using any standard library."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Curious case of 'for' loops "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### It is very important to understand for loops. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Defining a new list:\n",
    "my_list=['I','Love','Data','Science']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### We want to use for loop and print each element of out list 'my_list'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I\n",
      "Love\n",
      "Data\n",
      "Science\n"
     ]
    }
   ],
   "source": [
    "for i in my_list:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Now, We want elements at even index from out list 'my_list'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "i.e. I and data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have to use index in this case."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get total length we know, len() can be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'int' object is not iterable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-137-cb672c3c82eb>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmy_list\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: 'int' object is not iterable"
     ]
    }
   ],
   "source": [
    "for i in len(my_list):\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Understand the error, for loop needs a starting point, end point and jumping interval. \n",
    "#### What we had done above is defining only the end point.\n",
    "#### We must define that it should start from 0 to len(my_list) and jump 1 unit each time."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### This is where we must understand range function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0123456789"
     ]
    }
   ],
   "source": [
    "# As the name suggests range fucntion gives us the range of numbers\n",
    "for i in range(0,10):   # this will give 0 to 10 with 1 unit interval\n",
    "    print(i,end='')\n",
    "    \n",
    "# Note last number is always excluded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "2\n",
      "4\n",
      "6\n",
      "8\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,10,2):   # this will give 0 to 10 with 2 unit interval\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Now, We want elements at even index from out list 'my_list'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I\n",
      "Data\n"
     ]
    }
   ],
   "source": [
    "# complete the code and run it:\n",
    "for i in range(0,len(my_list),2): # this will give 0 to length of my_list with 2 unit interval\n",
    "    print(    )\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### If we want each element"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in my_list:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### If we want index of each element"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,len(my_list),1):\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### You should be an expert in for loops now...:p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Remember list_marks?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have marks of each student in 3 different subject."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
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       " [47, 37, 35],\n",
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       " [59, 60, 58],\n",
       " [49, 58, 60],\n",
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       " [80, 90, 82],\n",
       " [85, 95, 100],\n",
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       " [80, 86, 83],\n",
       " [87, 100, 95],\n",
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       " [55, 76, 76],\n",
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       " [59, 71, 65],\n",
       " [68, 78, 77],\n",
       " [77, 86, 86]]"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list_marks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### You can again visit the in video to understand list_marks: https://youtu.be/DNgkTDAQBFs?t=27"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 2. Find percentage of each student and add it as fourth element in each cell."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "e.g. [72, 72, 74] has percentage = 72.66"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Update list_marks as [72 , 72 , 74 , 72.66]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### No solution is provided for this task.\n",
    "##### Contact us if you are not able to complete the task with the copy of your code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Task 1:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['8', '7', '0', '0', '5', '2', '9', '9', '9', '5']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We convert b to a string and then string to a list.\n",
    "c=str(b)\n",
    "d=list(c)\n",
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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